Withholding alerts due to temporary shelf occlusion

Abstract

A system for processing images to automatically identify occlusions in a field of view of one or more cameras in retail stores is provided. The system may comprise at least one processor configured to receive one or more images from an environment of a retail store, detect in the one or more images a first occlusion event, analyze the plurality of images to determine an indicator of a first level of urgency for resolving the first occlusion event, cause issuance of a user-notification associated with the first occlusion event, detect in the one or more images a second occlusion event, analyze the plurality of images to determine an indicator of a second level of urgency for resolving the second occlusion event, and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second occlusion event.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application is a continuation of PCT International Application No. PCT / US2019 / 013054, filed Jan. 10, 2019, which claims the benefit of priority of U.S. Provisional Patent Application No. 62 / 615,512, filed on Jan. 10, 2018, U.S. Provisional Patent Application No. 62 / 681,718, filed on Jun. 7, 2018, and U.S. Provisional Patent Application No. 62 / 695,469, filed on Jul. 9, 2018, all of which are incorporated herein by reference in their entirety.BACKGROUNDI. Technical Field[0002]The present disclosure relates generally to systems, methods, and devices for identifying products in retail stores, and more specifically to systems, methods, and devices for capturing, collecting, and automatically analyzing images of products displayed in retail stores for purposes of providing one or more functions associated with the identified products.II. Background Information[0003]Shopping in stores is a prevalent part of modern daily life. Store owners ...

AI Technical Summary

Benefits of technology

[0034]According to an aspect of the present disclosure, a method is disclosed for identifying products and monitoring planogram compliance using analysis of image data. The method may include accessing at least one planogram describing a desired placement of a plurality of product types on shelves of a plurality of retail stores; receiving image data from the plurality of retail stores; analyzing the image data to determine an actual placement of the plurality of product types on the shelves of the plurality of retail stores; determining at least one characteristic of planogram compliance based on detected differences between the at least one planogram and the actual placement of the plurality of product types on the shelves of the plurality of retail stores; receiving checkout data from the plurality of retail stores reflecting sales of at least one product type from the plurality of product types; estimating, based on the determined at least one characteristic of planogram compliance and based on the received checkout data, an impact of the at least one characteristic of planogram compliance on the sales of the at least one product type; based on the estimated impact, identifying an action, associated with the at least one characteristic of planogram compliance, for potentially increasing future sales of the at least one product type; and providing information associated with the identified action to an entity.

Problems solved by technology

Such a monitoring technique, however, may be inefficient and may result in nonuniform compliance among retailers relative to various product-related guidelines.

This technique may also result in significant gaps in compliance, as it does not allow for continuous monitoring of dynamically changing product displays.

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